Javier Macía
Impact in
- Molecular Biology top 10%
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Biophysics top 5%
Papers in
-
- Photoreceptor and optogenetics research 5
- Neuroscience and Neural Engineering 3
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- Gene Regulatory Network Analysis 16
- Single-cell and spatial transcriptomics 4
- Co-authors
- Ricard V. Solé (21 shared papers)Francesc Posas (7 shared papers)Núria Conde–Pueyo (4 shared papers)Sergi Regot (2 shared papers)Tom Peeters (2 shared papers)Eulàlia de Nadal (5 shared papers)Stefanie Widder (4 shared papers)Carlos Rodríguez‐Caso (3 shared papers)
- Journals
- ACS Synthetic Biology (3 papers)Philosophical Transactions of the Royal Society B Biological Sciences (2 papers)Journal of Theoretical Biology (2 papers)BMC Systems Biology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- SpainUnited StatesSweden
In The Last Decade
Javier Macía
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 823
- Biophysics 56
- Aging 15
- Astronomy and Astrophysics 125
- Cellular and Molecular Neuroscience 126
Countries citing papers authored by Javier Macía
This map shows the geographic impact of Javier Macía's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Javier Macía with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Macía more than expected).
Fields of papers citing papers by Javier Macía
This network shows the impact of papers produced by Javier Macía. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Javier Macía. The network helps show where Javier Macía may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Macía, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 272 | |
| 2 | 2009 | 112 | |
| 3 | 2007 | 105 | |
| 4 | 2012 | 76 | |
| 5 | 2016 | 51 | |
| 6 | 2016 | 49 | |
| 7 | 2008 | 42 | |
| 8 | 2017 | 32 | |
| 9 | 2009 | 32 | |
| 10 | 2009 | 31 | |
| 11 | 2007 | 26 | |
| 12 | 2014 | 25 | |
| 13 | 2006 | 24 | |
| 14 | 2013 | 21 | |
| 15 | 2012 | 18 | |
| 16 | 2020 | 16 | |
| 17 | 2014 | 16 | |
| 18 | 2011 | 14 | |
| 19 | 2018 | 14 | |
| 20 | 2015 | 13 |
About Javier Macía
Javier Macía is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems, Astronomy and Astrophysics and Genetics, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (16 papers), Photoreceptor and optogenetics research (5 papers), Single-cell and spatial transcriptomics (4 papers), Molecular Communication and Nanonetworks (4 papers), Origins and Evolution of Life (4 papers), Neuroscience and Neural Engineering (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Molecular Biology (823 citations), Biophysics (56 citations), Aging (15 citations), Astronomy and Astrophysics (125 citations) and Cellular and Molecular Neuroscience (126 citations). Javier Macía has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Ricard V. Solé, Francesc Posas, Núria Conde–Pueyo, Sergi Regot, Tom Peeters, Eulàlia de Nadal, Stefanie Widder, Carlos Rodríguez‐Caso, Kentaro Furukawa and Andreea Munteanu. Their work appears in journals such as ACS Synthetic Biology, Philosophical Transactions of the Royal Society B Biological Sciences, Journal of Theoretical Biology, BMC Systems Biology and Nucleic Acids Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.